Article ID Journal Published Year Pages File Type
1218944 Journal of Food Composition and Analysis 2009 8 Pages PDF
Abstract

Variation in the composition of carrots by season, region, and individual samples was studied to design an efficient multi-stage sampling plan and evaluate its precision in terms of effective sample size. One hundred and twenty carrot samples were collected in an unbalanced four-level nested design. The four levels consisted of four seasons, seven prefectures within the Japanese archipelago, two agricultural cooperatives, and two farmers. The moisture, total sugar, and α- and β-carotene contents of the carrots were determined, and the results were evaluated using a random effects model. Based on the average of the four seasonal collections, 24% of the total variation in carrot composition was found to be attributable to seasonal change, 46% to region, 24% to farmer, and 6% to individual samples. The precision of several sampling scenarios was simulated to quantitatively demonstrate how much composite samples improved the representativeness of the data.

Related Topics
Physical Sciences and Engineering Chemistry Analytical Chemistry
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